Titlebook: Innovations in Multivariate Statistical Analysis; A Festschrift for He R. D. H. Heijmans,D. S. G. Pollock,A. Satorra Book 2000 Springer Sci

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On a Generalisation of the Covariance Matrix of the Multinomial Distribution,bution”. On the first page was the handwritten message: “Lieber Herr Trenkler, vielleicht interessiert Sie diese Arbeit! Ihr HN.” In fact, I found this paper, Neudecker (1995), so impressive that it motivated me to work on the same topic, namely the covariance of the multinomial distribution and rel

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Dual Scaling and Correspondence Analysis of Rank Order Data,(1984), Greenacre (1984). Typically, the data one subjects to either correspondence analysis or dual scaling are in the format of a so-called contingency matrix, i.e. a matrix consisting of frequencies of co-occurrences. There exist however modifications of the methods that make it possible to analy

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Continuous Extensions of Matrix Formulations in Correspondence Analysis, with Applications to the Ftween rows and columns. To be specific, correspondence analysis visualises the so-called ., which is the discrete bivariate density obtained by dividing . by its grand total .: . = (1/.).. A continuous extension of CA can be obtained by replacing . with a bivariate probability density .(., .). The m

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